One of the most puzzling things about human language is one of the most basic: Words occur according to a famously systematic frequency distribution such that there are few very high-frequency words that account for most of the tokens in text and many low-frequency words. In his pioneering research, G. K. Zipf observed that more frequent words tend to have more meanings, and showed that the number of meanings of a word grows as the square root of its frequency. One aspect that all dynamical models of grammar emphasize is that frequency of occurrence is an important determinant of linguistic structure and language use. This paper surveyed the effects of frequency on aspects in Persian and considers the correlation between frequency and the numbers of different types of aspect member in Persian. Aspect is a grammatical category that expresses how an action, event, or state, denoted by a verb, extends over time. Based on Bybee (1985, 1995, 201, 2003, 2006, 2011) and Haspelmath (2002, 2005, 2006, 2008, 2014) and Croft (2003), we tried to clarify the frequency effect in decreasing numbers of different types of aspects in Persian. Frequency-based form minimization is probably the most important economy effect that shapes grammatical systems. Since Greenberg (1966) and Croft (1990), this economy effect has been widely known, and has often been discussed under the heading of markedness. We conclude that there is a reverse relationship between the number of different types of aspect members and the frequency.